This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

Custom games/game modes/rulesets give gamers the ability to enjoy some games nearly infinitely. Gary's Mod, Rust, Minecraft, Robolox, Fortnite, and many others keep people coming back as people create new ways to play.
When I was younger I played a ton of Warcraft 3 custom games. I remember there being a solid ~2 years when that was almost entirely what I would play whenever I was able to use the computer and then another 3-4 years after where I would play at least a couple of times a week.

I remember loving custom games like:

• Defense of the Ancients (DotA)
• Island Troll Tribes (also Jungle Troll Tribes to a lesser extent)
• Risk (and it's many versions)
• Wintermaul and Wintermaul wars (along with all the other tower defense and tower defense wars)
• Vamperism
• Pest Control
• Many others as this list would drag on

I remember chatting with a lot of interesting people, though I didn't have any friendships I made move past Warcraft 3 in to other games.

I know there are many other games with custom games or customer game modes that the community developed, with DotA 2 coming full circle from being the sequel to a custom game to having custom games of its own.

To get the conversation going:

• What games had your favorite custom games?
• What custom games were your favorite?
• Did you make or contribute to any custom games?
• Any favorite memories?

My daughter (11) is doing a week long Python class, which is not using LLMs.

It got me thinking about how I learned to program in the pre-internet days (laboriously, from books), and then what a marvel it was when you could just search for information, especially for troubleshooting. But for her, the first answer in the Google search is going to be the AI summary, and most of her search tools are going to be AI tools.

I wonder if it would be possible to make an LLM that has a didactic/socratic mode. So if you said, "help me write a program to do madlibs" maybe it would give you a skeleton of a function, then prompt you to come to with a plan, then critique that plan. Or if you said, "I'm getting this error", it wouldn't just fix it, it would explain what the error means and nudge you towards the answer.

Thinking in a larger sense, it could have a rubric of important concepts, even tiers of understanding. It could be using the interactions to track the user's understanding, which could let it then tune how it answers future questions, or even be used to customize assignments.

I recognize that this is potentially replacing a teacher with a machine, which wouldn't be my goal. Good teachers are more holistic in their teaching than a machine is ever likely to be. But for people who don't have access to good teachers, or need more directed support than is available from a teacher, or just want to self study, it seems like it could be a valuable addition.

Until they solve the obsequiousness problem, it would be vulnerable to prompt hacking, so really more of a tool for someone who recognizes the value of learning over just being given the answer.

What do folks think about using such a tool? What would you want it to do, or not do?

Aside: I forgot until I reached the end of this post, but this is also (somewhat) the plot of The Diamond Age, or A Young Lady's Illustrates Primer by Neal Stephenson.

I was musing about this recently with the recent models becoming more capable. The core of gen AI is the model, which is trained on a massive dataset. To date, gen AI has improved because the models have become larger, more efficient, the data they are trained on has become better and the software/harnesses around them has improved to help query them.

As I see it, surely the bottleneck will soon become the data they are trained on? If we imagine a scenario where a models could consume an infinite amount of training data, and there is no limit to the training time or quality. The sum of human skill/knowledge is the limiting factor. Gen AI should (in theory) never be able to out preform or push the boundary of the sum of humanity at time of training.

Or, counterpoint, is there enough randomness and speed to iterate that gen AI can actually step change and improve if training times/cost were less prohibitive? Most companies/models today will save good output and feed it back into the next iteration, but right now that's taking months. What if that took minutes?

What do you think?

Is gen AI going to take us to general intelligence?
Will gen AI get to a place where it's "intelligence" and reasoning is actually better than the sum of Humanity?

Now that we know everyone's favorites, I'd love to hear about games that are further down the list -- the ones that don't necessarily rise to the high heights of definitive favoritedom.

So, share your eleventh favorite game this time. You know, the one that doesn't quite make it into your top 10.

Feel free to share your top 10 if you like as well, but lead with your 11th, as those are the ones I'm interested in seeing highlighted.

Submit your response here!

• Direct link: https://survey.tildes.community/-/how-optimistic-are-you-about-the-future-9/
• This survey closes on June 21, 2026 at 10:00 UTC
• The results will be published on June 21 shortly after the survey has closed. I'll edit this topic and post a comment about it!

The current plans for questions that will be asked in the coming weeks are as follows:

Keeping it very simple this time around with some Likert scales! (TIL the name of these)

The person that originally submitted this question also mentioned doing this periodically (like every six months) so I figured for this first one I'd ask both how you feel about the future now and how you have felt in the past six months.

Please submit your ideas for questions here! Even if they've been submitted already by someone else. All input is valuable! You can view all submitted questions on this dashboard.

Thank you all for participating!

I'm running a nixos linux machine with Hyperland as my window manager and a few month back (likely after an update) I noticed that firefox started showing a emoji picker when I pressed ctrl+.. This was a bit annoying since the firefox extension for my password manager is activated by that key shortcut. I figured this was some update for firefox, but now that I dug into it to fix it it turns out that it is a gtk thing that apparently each app has to opt out of! I could disable it by flipping widget.gtk.native-emoji-dialog in about:config, but this seems like a really bad choice by gtk. Two gripes with this:

1. Them adding a global keyboard shortcut for all gtk apps that is ON by default (for a kind of niche usecase).
2. Overriding shortcuts on a desktop wide basis with no meaningful (afaict) way to disable it.

Anyone knows if this is intentional? Maybe it's already been reverted upstream and I just need to update... anyway end rant!

Have you watched any TV shows recently you want to discuss? Any shows you want to recommend or are hyped about? Feel free to discuss anything here.

Please just try to provide fair warning of spoilers if you can.

In a moment of distraction, I fell for a phishing phone call and compromised my Google account. It took me 13 minutes to realize how catastrophically stupid I am and begin frantically changing passwords. I've run the official Google "secure your account" process probably 10 times (though 9 of those times there was nothing to do). I've checked all my financial info, changed passwords on all sorts of things. As far as I can tell, other than gaining access to my Gmail, I don't think anything else was compromised.

How boned am I? I've got 2FA on basically anything remotely important, and I've had decent password hygiene (although I do use the Google password manager, so that's probably comprimised). Is there something else I should do or be on the lookout for?

A few days ago, I posted this and quickly realized that the world of data backups is far richer than just sudo rsync -av --delete --exclude=Videos /home /home_bkup.

So now I'm window shopping the top Linux-supported backup solutions: borg, duplicacy, kopia, restic and--oh look--a core borg dev just dropped his own new-and-improved solution, vykar.

Restic was the first tool I started to research, and I thought I really liked it, got as far as installing, initializing a test repo, creating a couple of snapshots. But restic seems to be, hmm, fussy about the source and destination paths, absolute vs relative paths, etc.

The fact that merely renaming a parent directory (or grandparent, or great-grandparent, etc) causes restic to treat every unchanged byte below that as brand new ... that's a recipe for giant, bloated repos, and it's unacceptable to me ... and hey, lookit that, borg does not do that. So now, restic is out and borg is in.

But what other pros v cons are there, that I haven't even realized need to be considered? What advantages/disadvantages do other apps offer? Which ones can I easily automate with nightly/hourly cron jobs? Which ones have their own even-better automated solutions?

Do I even want encryption? All of my drives/volumes are LUKS encrypted, and anything I would store remotely would also get encrypted before it ever left my LAN ... plus, I'm just a bit nervous about having the backups encrypted, requiring working, functional software to restore/recover data from them....

That may not seem like such a big concern, perhaps, but I am currently working my way thru decrypting a bunch of 10-15 year old TrueCrypt-ed volumes, which requires using an old, outdated version of VeraCrypt and a somewhat "cross-my-fingers" effort to find KeePass repos old enough (also outdated, KeePass 1.0 repos) to still contain the various passwords I used to encrypt those ancient volumes ... but also still use new enough master passwords that I can still get the KeePass repos unlocked.

With rsync, I can literally just go into any backup, find the specific version of the specific file(s) I want to recover, and manually copy it back to my workspace. Is anything like that option available in any of these deduplicated/encrypted solutions, even if they're not encrypted? If (eg) a borg repo is created w/o encryption, the data is still all just borg-specific blobs, right? Or can I navigate into the repo and just manually grab files?

Oh yeah ... for reference, the past 10-ish years, my backup routine has been to create a new, dated, destination folder, starting with a full backup of my /home folder (excluding things like Videos, Music, VMs, other bulky stuff that gets backed up separately/differently), and then running nightly diff backups into the same folder, while also maintaining a "one-day-older" second backup of the whole thing on a 2nd HDD ... then, every 3-6 months, zipping up the current backup folder and starting a new one.

At any rate, there you go; that's the kind of stuff I'm thinking about now, as I overhaul my 20-year-old, 20TB (but could be 2TB) backup system.

Any and all feedback, recommendations, tips are welcome. Danke.